online learning

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization COLT 2026 Align Video Diffusion Model with Online Video-Centric Preference Optimization WACV 2026 Ambiguous Online Learning COLT 2026 A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses AAAI 2026 A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice COLT 2026 Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026 Calibeating Made Simple COLT 2026 Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness COLT 2026 Conformal Online Model Aggregation UAI 2026 Continual Neural Topic Model EACL 2026 CoRE-Learning with Look-Ahead and Immediate Resource Allocation AAAI 2026 Cubing for Tuning AAAI 2026 Defensive Generation COLT 2026 DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices AAAI 2026 Discriminative Feature Feedback with General Teacher Classes ALT 2026 Distribution-Free Sequential Prediction with Abstentions COLT 2026 Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data ALT 2026 Expert Advice with Costly Observations UAI 2026 Fast Best-in-Class Regret for Contextual Bandits UAI 2026 Gradient-Variation Regret Bounds for Unconstrained Online Learning COLT 2026 How to Set β_1, β_2 in Adam: An Online Learning Perspective ALT 2026 Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy ALT 2026 Inference Offloading for Cost-Sensitive Binary Classification at the Edge AAAI 2026 Invited Open Problem: Does Differential Privacy Make PAC Learning Much Harder? COLT 2026 Learning-based Optimal Admission Control for Erlang-B Queuing Systems UAI 2026